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基因本体
相关语句
  gene ontology
     A Java toolkit for gene ontology
     基于Java的基因本体工具包
短句来源
     The main task is to build a integrated bioinformatics database via XML and Gene Ontology.
     其中主要任务是建立一个通用的基于XML技术和GENE ONTOLOGY(基因本体)整合的生物信息学数据库系统。
短句来源
     Aiming at the requirement of gene ontology,a toolkit for gene ontology based on Java is designed and implemented.
     针对基因本体的需求,利用Java技术,以模块化设计的方式实现了基因本体工具包GO4J。 该系统包括4个模块。
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  “基因本体”译为未确定词的双语例句
     Last but not least, the genes which belong to the same terms are analyzed in order to discover more rules and evidence between them.
     此外,对同一表型术语下的基因的有关基因本体信息进行了统计和分析,找出其中的对应规律,为发现更多的与此术语相关的基因提供依据和线索。
短句来源
     These genes were clustered to 12 groups with different expression patterns according to self-organizing map(SOM)method. GO analysis indicated that differentially expressed genes were not limited to vascular growth associated factors,but genes in correlation to organogenesis and G-protein signaling pathway had significant changes(P<0.05).
     SOM聚类显示12类不同的表达差异变化模式,基因本体学分析显示变化的基因并不局限于血管生成相关因子,发育相关基因及G蛋白信号通路相关基因改变亦很明显(P<0.05)。
短句来源
  相似匹配句对
     4 new genes were obtained.
     U基因
短句来源
     A Java toolkit for gene ontology
     基于Java的基因本体工具包
短句来源
     DNA, the main compontent of genes, is the source of their nutrition as well.
     核酸是基因本体,又是基因的营养源。
短句来源
     coli lac Z gene.
     colilacZ基因
短句来源
     Noumenon of Energy
     能量本体
短句来源
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  gene ontology
A functional classification of 118 clones whose transcript levels were evaluated under hypoxia was performed according to gene ontology.
      
These genes were further classified into Gene Ontology categories.
      
GESTs (gene expression similarity and taxonomy similarity), a gene functional prediction approach previously proposed by us, is based on gene expression similarity and concept similarity of functional classes defined in Gene Ontology (GO).
      
Gene Ontology and the accompanying annotations compose a big knowledge base, on which many researches have been carried out.
      
With the help of Gene Ontology we present a more elaborate analysis on microarray data than former researchers.
      
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DNA, the main compontent of genes, is the source of their nutrition as well. Being the functional fragments of DNA that store and transmit genetic information genes are to result in the aging of cells, diseases and accelerating the process of body's senescence if damaged. Thu-s,scientific external supplement of nucleic acid, which is of great benefit to the repair of genes and maintenance of normal level of cell renewal, will help resist the aging of cells,prevent diseases and delay senescing process.

核酸是基因的本体,又是基因的营养源。基因是贮存、传递遗传信息的DNA功能片段。基因受损,可导致细胞老化,疾病丛生,加速肌体衰老。科学补充外源核酸,有利于受损基因修复,维持细胞正常代谢水平,阻抑细胞老化,减少疾病发生,延缓衰老进程。

GO(Gene Ontology)is a standardized Bioinformatics Ontology,which is widely used to annotate Gene Database.However,such annotation is far from complete due to the structural defect of GO and the manual annotation method in most cases together with some undiscovered attributes of genes.In this paper,we try to get the underlying relationship between gene and gene ontology through the machine learning method of Probabilistic Decision Tree,so as to predict the annotation of gene ontology,i.e.the unknown attributes...

GO(Gene Ontology)is a standardized Bioinformatics Ontology,which is widely used to annotate Gene Database.However,such annotation is far from complete due to the structural defect of GO and the manual annotation method in most cases together with some undiscovered attributes of genes.In this paper,we try to get the underlying relationship between gene and gene ontology through the machine learning method of Probabilistic Decision Tree,so as to predict the annotation of gene ontology,i.e.the unknown attributes of gene.In this way,gene database administrators can be guided to complete and modify the ontology annotation and biologists can be guided to design specific experiments.The MGI gene database is used to test the precision of our prediction and the experimental results show that our method achieves a higher precision.

GO(GeneOntology)是个标准化的生物信息本体库,被广泛地用来注释基因数据库,然而由于GO结构设计上的缺陷以及目前对基因数据库注释方法多采用手工方式,再加上基因的许多特性尚未发现,使得这种注释还不完全。该文尝试用概率决策树的方法来学习得到基因和GO本体的内在联系,进而预测基因的本体注释情况,也就是预测基因的未知特性,这样就可以引导基因数据库管理员去完善,修正基因数据库的本体注释,并指导生物学家有针对性地设计试验。作为一个应用,用MGI基因数据数据库做试验,分析表明用该方法得到的预测结果准确性比较高。

Aiming at the requirement of gene ontology,a toolkit for gene ontology based on Java is designed and implemented.It is consisted of four modules: the parser module that loads GO into the memory,the graph data structure module that records the relations among all the GO terms,the semantic similarity module that evaluates how two GO terms are similar,and the visualization module that illustrates the paths between GO terms and root nodes.An ontology browser integrates the four modules,and biological data that are...

Aiming at the requirement of gene ontology,a toolkit for gene ontology based on Java is designed and implemented.It is consisted of four modules: the parser module that loads GO into the memory,the graph data structure module that records the relations among all the GO terms,the semantic similarity module that evaluates how two GO terms are similar,and the visualization module that illustrates the paths between GO terms and root nodes.An ontology browser integrates the four modules,and biological data that are annotated by GO can be analyzed by GO4J.

针对基因本体的需求,利用Java技术,以模块化设计的方式实现了基因本体工具包GO4J。该系统包括4个模块。解析器模块把GO载入到内存中;图数据结构模块记录了所有的GO条目之间的关系;语义相似性模块评估两个GO条目之间的相似程度;可视化模块直观展示GO条目和根节点之间的路径。GO4J把这4个模块整合到本体浏览器中,可以结合GO注释的生物数据来对具体的生物数据进行分析。

 
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